Evidence map›Paper›PMID 22347512›Full record

ArticlePLoS neglected tropical diseases2012

Virus identification in unknown tropical febrile illness cases using deep sequencing.

Nathan L Yozwiak, Peter Skewes-Cox, Mark D Stenglein, Angel Balmaseda, Eva Harris, Joseph L DeRisi

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
20.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 1 synthesis or guideline pooled it, 171 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Nathan L YozwiakDivision of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, California, United States of America.
Peter Skewes-Cox
Mark D Stenglein
Angel Balmaseda
Eva Harris
Joseph L DeRisi
University of California, Berkeley · USUniversity of California, San Francisco · USHoward Hughes Medical Institute · USMinisterio de Salud · NI

Funding

Vaccines and Diagnostics TrialsU54AI065359 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI BARBOUR, ALAN G. · 2005 to 2013
$88.8M
MUTIDISCIPLINARY TRAINING PROGRAM IN LUNG DISEASEST32HL007185 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI David J Erle, LAURENCE HUANG · 1985 to 2026
$24.6M
Howard Hughes Medical InstituteNHLBI NIH HHS 5T32HL007185-34NHLBI NIH HHS T32 HL007185NIAID NIH HHS U54 AI065359NIAID NIH HHS U54-AI65359
6 · The paper itself

Abstract

Dengue virus is an emerging infectious agent that infects an estimated 50-100 million people annually worldwide, yet current diagnostic practices cannot detect an etiologic pathogen in ∼40% of dengue-like illnesses. Metagenomic approaches to pathogen detection, such as viral microarrays and deep sequencing, are promising tools to address emerging and non-diagnosable disease challenges. In this study, we used the Virochip microarray and deep sequencing to characterize the spectrum of viruses present in human sera from 123 Nicaraguan patients presenting with dengue-like symptoms but testing negative for dengue virus. We utilized a barcoding strategy to simultaneously deep sequence multiple serum specimens, generating on average over 1 million reads per sample. We then implemented a stepwise bioinformatic filtering pipeline to remove the majority of human and low-quality sequences to improve the speed and accuracy of subsequent unbiased database searches. By deep sequencing, we were able to detect virus sequence in 37% (45/123) of previously negative cases. These included 13 cases with Human Herpesvirus 6 sequences. Other samples contained sequences with similarity to sequences from viruses in the Herpesviridae, Flaviviridae, Circoviridae, Anelloviridae, Asfarviridae, and Parvoviridae families. In some cases, the putative viral sequences were virtually identical to known viruses, and in others they diverged, suggesting that they may derive from novel viruses. These results demonstrate the utility of unbiased metagenomic approaches in the detection of known and divergent viruses in the study of tropical febrile illness.

Indexed as

AdolescentChildChild, PreschoolComputational BiologyFemaleFever of Unknown OriginHigh-Throughput Nucleotide SequencingHumansInfantMaleMicroarray AnalysisMolecular Sequence DataNicaraguaSequence Analysis, DNASerumTropical Climate

Identifiers

PMID22347512
PMCPMC3274504
OpenAlexW1996639554

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.